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5 часов назад

Senior AI Engineer

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior AI Engineer: Helping to bring LLM capabilities into new and existing products with an accent on AI engineering and multi-agent architectures. Focus on building and deploying Agentic LLM-based solutions and optimizing data pipelines for vector search and knowledge retrieval.

Location: Ideally, London-based with onsite work at WeWork one day a week (Wednesdays).

Company

hirify.global, a London-based consultancy, designs and builds technology solutions for clients like Spotify, Google, Inmarsat, and Zego.

What you will do

  • Experiment with POCs to find solutions for real-world problems using Large Language Models.
  • Collaborate on AI-driven projects, working alongside engineers, product managers and AI specialists while maintaining clear documentation.
  • Build and deploy Agentic LLM-based solutions with LangGraph.
  • Design and optimise APIs using Python and FastAPI to serve AI solutions.
  • Build and optimise data pipelines for vector search and knowledge retrieval using Vector databases and embedding models.

Requirements

  • Professional AI engineering experience.
  • Background in Software Engineering with Python.
  • Solid understanding of the Python standard library and modern Python coding, testing, debugging and automation techniques.
  • Hands-on experience building solutions using LLMs and Agentic architectures with ADK, LlamaIndex, or LangGraph.
  • Working with vector databases for embedding and indexing.
  • Strong experience with cloud platforms and with relational databases and SQL
  • Excellent communication skills and the ability to work well in a collaborative team environment

Nice to have

  • Strong experience with GCP.
  • Experience with Graph databases.
  • Experience in bringing data-intensive projects into production.
  • Experience with CI/CD pipelines.

Culture & Benefits

  • Flexible and Remote-First Work Environment: Choose how and where you work, with the option for weekly team meet-ups in central London.
  • Generous Leave Policy: 27 days of holiday plus bank holidays
  • Family-friendly policies, including enhanced maternity, paternity and shared
  • Learning and Development: Individual annual budget of £2,000 for learning and development, with dedicated learning days.
  • Feel Better Fund: £500 to help set up your remote office.
  • Pension Contribution: Enhanced employer pension contribution of 6%.

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